Data Engineer, Analytics

$162,706 - $196,900/Yr

Meta - Little Rock, AR

Full-time - Mid Level

Remote - Little Rock, AR

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About the position

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., is at the forefront of building technologies that connect people, foster communities, and enhance business growth. Since its inception in 2004, Facebook has revolutionized the way individuals interact. With the introduction of applications and services such as Messenger, Instagram, and WhatsApp, Meta has empowered billions globally. Currently, Meta is advancing beyond traditional 2D screens, venturing into immersive experiences like augmented and virtual reality, aiming to shape the next evolution in social technology. The Data Engineer, Analytics role is pivotal in this journey, focusing on designing and implementing data warehousing activities that provide a robust data foundation for informed decision-making. This position requires collaboration with engineers, product managers, and data scientists to understand data needs and represent key insights visually. The role also involves defining service level agreements (SLAs) for data sets, creating frameworks to enhance data logging efficacy, and ensuring compliance with privacy requirements. The Data Engineer will tackle complex data integration challenges, optimize data pipelines, and influence cross-functional teams to identify impactful data opportunities. This position allows for telecommuting from anywhere in the US, providing flexibility in the work environment.

Responsibilities

• Design, model, and implement data warehousing activities to deliver the data foundation that drives impact through informed decision making.
• Design, build and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains.
• Collaborate with engineers, product managers and data scientists to understand data needs, representing key data insights visually in a meaningful way.
• Define and manage SLA for all data sets in allocated areas of ownership.
• Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve.
• Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership.
• Solve challenging data integration problems utilizing optimal ETL patterns, frameworks, query techniques, and sourcing from structured and unstructured data sources.
• Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts.
• Influence product and cross-functional teams to identify data opportunities to drive impact.
• Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
• Demonstrate good judgment in selecting methods and techniques for obtaining solutions.
• Design, build, and maintain regulatory compliance data processes in collaboration with legal counsel and policy managers.

Requirements

• Master's degree in Business Analytics, Computer Science, Engineering, Information Systems, Mathematics, Statistics, Data Analytics, Applied Sciences, or a related field.
• Two years of work experience in the job offered or in a computer-related occupation.
• Experience in features, design, and use-case scenarios across a big data ecosystem.
• Custom ETL design, implementation, and maintenance.
• Proficiency in object-oriented programming languages.
• Schema design and dimensional data modeling.
• Writing SQL statements.
• Analyzing data to identify deliverables, gaps, and inconsistencies.
• Managing and communicating data warehouse plans to internal clients.
• Proficiency in Python.

Benefits

• Bonus
• Equity
• Health benefits
• Flexible work environment